Results 11 to 20 of about 5,109,668 (342)

Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews [PDF]

Annual Meeting of the Association for Computational Linguistics, 2002
This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review
Turney, Peter D.
core   +7 more sources

Mutual associations between intellectual disability and epilepsy-related psychiatry disability: Population-based study. [PDF]

Medicine (Baltimore), 2017
Epilepsy is the third-leading cause of psychiatry disability in China, and intellectual disability (ID) is also 1 major type of disabilities in China. This study estimates the prevalence of comorbidities with ID and epilepsy-related psychiatry disability
Wang Z, Guo C, Chen G, Zhang L, Wen X, Zheng X.   +5 more
europepmc   +2 more sources

Mutual Associations of Exposure to Ambient Air Pollutants in the First 1000 Days of Life With Asthma/Wheezing in Children: Prospective Cohort Study in Guangzhou, China.

JMIR Public Health Surveill
Background The first 1000 days of life, encompassing pregnancy and the first 2 years after birth, represent a critical period for human health development.
Tian F, Zhong X, Ye Y, Liu X, He G, Wu C, Chen Z, Zhu Q, Yu S, Fan J, Yao H, Ma W, Dong X, Liu T.   +13 more
europepmc   +2 more sources

Online and Social Media Presence (Facebook, Twitter, Instagram, and YouTube) of Civil Associations, Mutual Associations, and Foundations in Argentine Nursing

Metaverse Basic and Applied Research, 2022
Social media has experienced an unprecedented boom in recent years and its impact on today's society is undeniable. Social media has changed the way people communicate, relate and inform themselves.
Carlos Oscar Lepez, Patricia Alonso Galbán, C. Canova-Barrios, F. Machuca-Contreras   +3 more
semanticscholar   +1 more source

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

IEEE Transactions on Medical Imaging, 2021
Brain connectivity alterations associated with mental disorders have been widely reported in both functional MRI (fMRI) and diffusion MRI (dMRI). However, extracting useful information from the vast amount of information afforded by brain networks ...
Dongren Yao, J. Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, P. Yap, Mingxia Liu, D. Shen   +8 more
semanticscholar   +1 more source

The COVID-19 pandemic and Alzheimer’s disease: mutual risks and mechanisms

Translational Neurodegeneration, 2022
Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a life-threatening disease, especially in elderly individuals and those with comorbidities. The predominant clinical manifestation of
F. Chen, Yanting Chen, Yongxiang Wang, Qiongwei Ke, Lili Cui   +4 more
semanticscholar   +1 more source

Application of Saline Infusion Sonocolpography in Diagnosis and Treatment of Perforated Transverse Vaginal Septum

Case Reports in Obstetrics and Gynecology, 2019
Transverse vaginal septum (TVS) is a particularly rare vaginal anomaly, and diagnosis is often difficult in a genital examination. We herein present a case of perforated TVS for which successful diagnosis and treatment were achieved using a new technique
Ayumi Ono, Iori Kisu, Tomoko Iijma, Hiroshi Senba, Kiyoko Matsuda, Motoko Katayama, Ayaka Iura, Yumiko Miura, Nobumaru Hirao   +8 more
doaj   +1 more source

Frequency, mutual exclusivity and clinical associations of myositis autoantibodies in a combined European cohort of idiopathic inflammatory myopathy patients

Journal of Autoimmunity, 2019
Objectives To determine prevalence and co-existence of myositis specific autoantibodies (MSAs) and myositis associated autoantibodies (MAAs) and associated clinical characteristics in a large cohort of idiopathic inflammatory myopathy (IIM) patients ...
Z. Betteridge, SL Tansley, Gavin Shaddick, H. Chinoy, R. G. Cooper, R. P. New, J. Lilleker, J. Vencovsky, L. Chazarain, K. Dankó, M. Nagy-Vincze, L. Bodoki, M. Dastmalchi, L. Ekholm, I. E. Lundberg, Neil McHugh, UKMyonet contributors   +16 more
semanticscholar   +1 more source

Mutual information based data association [PDF]

2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009
Relating information originating from disparate sensors without any attempt to model the environment or the behaviour of any particular object within it is a challenging task. Inspired by human perception, the focus of this paper will be on observing objects moving in space using sensors that operate based on different physical principles and the fact ...
Alen Alempijevic, Sarath Kodagoda, Gamini Dissanayake   +2 more
openaire   +1 more source

Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information

BMC Bioinformatics, 2019
Long non-coding RNAs play an important role in human complex diseases. Identification of lncRNA-disease associations will gain insight into disease-related lncRNAs and benefit disease diagnoses and treatment.
Xiaonan Fan, Shaowu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu   +4 more
semanticscholar   +1 more source